Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?. Pokhrel, S. Health Research Policy And Systems / Biomed Central, 4:4, BioMed Central, 30, 2006.
Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play? [link]Website  abstract   bibtex   
Despite improved supply of health care services in low-income countries in the recent past, their uptake continues to be lower than anticipated. This has made it difficult to scale-up those interventions which are not only cost-effective from supply perspectives but that might have substantial impacts on improving the health status of these countries. Understanding demand-side barriers is therefore critically important. With the help of a case study from Nepal, this commentary argues that more research on demand-side barriers needs to be carried out and that the stated-preference (SP) approach to such research might be helpful. Since SP techniques place service users' preferences at the centre of the analysis, and because preferences reflect individual or social welfare, SP techniques are likely to be helpful in devising policies to increase social welfare (e.g. improved service coverage). Moreover, the SP data are collected in a controlled environment which allows straightforward identification of effects (e.g. that of process attributes of care) and large quantities of relevant data can be collected at moderate cost. In addition to providing insights into current preferences, SP data also provide insights into how preferences are likely to respond to a proposed change in resource allocation (e.g. changing service delivery strategy). Finally, the SP-based techniques have been used widely in resource-rich countries and their experience can be valuable in conducting scaling-up research in low-income countries.;
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 title = {Scaling up health interventions in resource-poor countries: what role does research in stated-preference framework play?},
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 year = {2006},
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 month = {30},
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 city = {School of Health Sciences and Social Care, Brunel University Osterley Campus, Borough Road, Isleworth, Middlesex, TW7 5DU, UK. Subhash.Pokhrel@brunel.ac.uk},
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 notes = {ID: 66112; ID: 16573821; Accession Number: 16573821. Language: English. Date Revised: 20091118. Date Created: 20060427. Date Completed: 20060505. Update Code: 20121129. Publication Type: Editorial. Journal ID: 101170481. Publication Model: Electronic. Cited Medium: Internet. NLM ISO Abbr: Health Res Policy Syst. PubMed Central ID: PMC1448195. Comment: Cites: J Health Econ. 1990 Jun;9(1):103-18. (PMID: 10113226). Cites: Birth. 1998 Mar;25(1):32-9. (PMID: 9534503). Cites: Health Econ. 1999 Jun;8(4):345-53. (PMID: 10398527). Cites: Health Place. 2001 Mar;7(1):39-45. (PMID: 11165154). Cites: Health Technol Assess. 2001;5(5):1-186. (PMID: 11262422). Cites: Qual Health Care. 2001 Sep;10 Suppl 1:i55-60. (PMID: 11533440). Cites: J Biosoc Sci. 2002 Apr;34(2):173-92. (PMID: 11926453). Cites: Health Econ. 2003 Jun;12(6):431-51. (PMID: 12759914). Cites: Soc Sci Med. 2003 Sep;57(5):783-90. (PMID: 12850106). Cites: Lancet. 2003 Jul 5;362(9377):65-71. (PMID: 12853204). Cites: BMJ. 2004 Feb 14;328(7436):360-1. (PMID: 14962852). Cites: Health Policy Plan. 2004 Mar;19(2):69-79. (PMID: 14982885). Cites: Appl Health Econ Health Policy. 2003;2(4):213-24. (PMID: 15119540). Cites: Health Policy Plan. 2004 Jul;19(4):218-33. (PMID: 15208278). Cites: Lancet. 2004 Sep 11-17;364(9438):970-9. (PMID: 15364188). Cites: Health Policy Plan. 1994 Jun;9(2):185-92. (PMID: 15726780). Cites: Lancet. 2005 Mar 12-18;365(9463):977-88. (PMID: 15767001). Cites: Bull World Health Organ. 2005 May;83(5):338-44. (PMID: 15976874). Cites: J Eval Clin Pract. 2005 Aug;11(4):328-38. (PMID: 16011645). Cites: Health Policy. 2005 Sep 28;74(1):100-9. (PMID: 16098416). Cites: Soc Sci Med. 1998 Jan;46(1):1-12. (PMID: 9464663). Cites: Health Transit Rev. 1996 Oct;6(2):131-45. (PMID: 10163961). Linking ISSN: 14784505. Subset: PubMed-not-MEDLINE; Date of Electronic Publication: 2006 Mar 30. ; Original Imprints: Publication: London] : BioMed Central, 2003-},
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 abstract = {Despite improved supply of health care services in low-income countries in the recent past, their uptake continues to be lower than anticipated. This has made it difficult to scale-up those interventions which are not only cost-effective from supply perspectives but that might have substantial impacts on improving the health status of these countries. Understanding demand-side barriers is therefore critically important. With the help of a case study from Nepal, this commentary argues that more research on demand-side barriers needs to be carried out and that the stated-preference (SP) approach to such research might be helpful. Since SP techniques place service users' preferences at the centre of the analysis, and because preferences reflect individual or social welfare, SP techniques are likely to be helpful in devising policies to increase social welfare (e.g. improved service coverage). Moreover, the SP data are collected in a controlled environment which allows straightforward identification of effects (e.g. that of process attributes of care) and large quantities of relevant data can be collected at moderate cost. In addition to providing insights into current preferences, SP data also provide insights into how preferences are likely to respond to a proposed change in resource allocation (e.g. changing service delivery strategy). Finally, the SP-based techniques have been used widely in resource-rich countries and their experience can be valuable in conducting scaling-up research in low-income countries.;},
 bibtype = {article},
 author = {Pokhrel, Subhash},
 journal = {Health Research Policy And Systems / Biomed Central}
}
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